scholarly journals Implementasi Algoritma Weighted Product (WP) Dengan Model Fuzzy Multi Attribute Decission Making (FMADM) Dalam Penilaian Kinerja Karyawan

2020 ◽  
Vol 2 (1) ◽  
pp. 57-65
Author(s):  
Kiki Apni Puspita Sari ◽  
Eka Irawan ◽  
Fitri Rizky
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Performance Appraisal ◽  
Support System ◽  
Employee Performance ◽  
Research Data ◽  
Evaluation Activity ◽  
Security Guard ◽  
System Technique ◽  
Multi Attribute Decision Making

Employee performance appraisal is a work evaluation activity that is used to determine the quality which will be used for the achievement of each individual employee. The purpose of this research is to appraise employee performance, especially for the security guard. In this study the authors used the Decision Support System technique using the Fuzzy Multi Attribute Decision Making algorithm, namely Weighted Product. The source of the research data used was to provide an assessment form to Krani Papam. In the employee performance appraisal, researchers used 5 assessment criteria, including: Attendance (C1), Responsibility (C2), Commitment (C3), Cooperation (C4), and Motivation (C5). In this study, the alternative used as a sample is employees in the security section (security guard). From the results of manual calculations and system testing, the highest value is 0.0286. It is expected that the results of this study can provide input to the office, especially the security section (security guard) in selecting employee performance so that the assessment is carried out objectively.

scholarly journals Decision Support System of Employee Performance Evaluation

2019 ◽  
Vol 8 (6S2) ◽  
pp. 1007-1012
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Employee Performance ◽  
Accurate Information ◽  
Intellectual Capacity ◽  
Waterfall Model

Employee Performance Evaluation at CV Artha Mandiri Pringsewu is still done manually, without a computerized system, so that it faces obstacles to obtain actual and accurate information. In order to be successful in business today, CV. Artha Mandiri needs information system that can support decision making and various information. Problems that often occur in the process of employee performance appraisal include the decision-making subjectivity, especially if several existing employees have abilities that are not much different. The use of decision support systems is a solution to reduce subjectivity in decision making designed with Visual Basic 6.0 programming, The calculations were performed on all criteria for all employees, so it is expected that employees with the best abilities are selected. Decision support system is supported by a descriptive method in the development of system software with Waterfall model. The calculation process is carried out to determine employee recommendations in the Promotion System based on 3 aspects namely Intellectual Capacity, Work Attitude and Behavior. The result of this process is employee ranking. This ranking is the basis for decision makers to choose employees who are suitable in the vacant positions that are expected to help evaluating the performance of employees at CV Artha Mandiri

scholarly journals Decision Support System Employee Performance Appraisal Method Using TOPSIS

2020 ◽  
Vol 2 (2) ◽  
pp. 307-312
Author(s):  
Tri Benny Febrian ◽  
Agustina Simangunsong
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Employee Performance ◽  
Final Decision ◽  
The Board Of Directors ◽  
Appraisal Method ◽  
Quantitative Descriptive

Employee performance is the level of achievement of an employee of a particular task that is influenced by internal and external factors of the company where the employee works. Employee performance is influenced by many factors including competency, attendance, loyalty and length of work. The purpose of this study is to create and design a Decision Support System (SPK) for evaluating employee performance using the TOPSIS method and applying the method to employee performance evaluation SPK. TOPSIS is a decision-making method that has multiple criteria or criteria. This type of research is a quantitative descriptive method that presents methods and research objects based on numbers. The study population was 42 employees at PT Catur Karya Sentosa and used as many as 4 employees as research samples and data were collected by interview method. The results showed that the calculation of employee performance using the TOPSIS algorithm runs well and efficiently and can be done every month so as to minimize or even eliminate the employee performance appraisal method subjectively. Ranking taken from the results of this method is the final result after the calculation of positive and negative ideal solutions as consideration of the final decision making by the board of directors.

scholarly journals Sistem Pendukung Keputusan Kelompok Promosi Jabatan dengan Metode AHP dan BORDA

2019 ◽  
Vol 1 (4) ◽  
pp. 185-194
Author(s):  
Putu Sugiartawan ◽  
Paholo Iman Prakoso
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Group Decision ◽  
Employee Performance ◽  
Group Decision Support ◽  
Group Decision Support System ◽  
A Company

Abstract Determination of the best employees in a company aims to improve competitiveness and give awards to employees who have high dedication to the company. Difficulties in evaluating employees are the many assessment factors and characteristics of the appraisal and who will provide the appraisal, so that the appraisal is appropriate and transparent. Employee performance appraisal is carried out by 2 assessors namely the company manager and the head of the human resource management department (HRD) and consists of a number of criteria. The assessment will be difficult if done manually considering that each assessor has their own preferences in conducting the assessment. To overcome this we need a computer system that helps decision making, namely a group decision support system (GDSS) determining the best employees in a company The group decision support system developed in this study uses the AHP and BORDA methods to assist group decision making. AHP method is used for decision making in each appraiser, while the Borda method is used to combine the decision results of each appraiser so that the final result is the best employee in the company. Based on the final results of the best employee determination system in the form of ranking the final value of each employee. The highest value is used as a recommendation as the best employee.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA PEGAWAI PELAYANAN ADMINISTRASI TERPADU KECAMATAN (PATEN) DI KECAMATAN PUCUK MENGGUNAKAN METODE AHP BERBASIS WEB

2018 ◽  
Vol 10 (1) ◽  
pp. 983
Author(s):  
Ubaidilla Maghfur ◽  
M Hasan Wahyudi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Information Management ◽  
Support System ◽  
Employee Performance ◽  
Ahp Method ◽  
Web System

Decision  Support  System  is  Information  management  aids  system  that  deals  with  the  calculation  and  assessment  of  employees  in  sub-district  service,  many  ways  to  assess  employee  performance but this system that I created, as in advance company this system is often in use. In this  research using AHP method. Making this performance appraisal decision support system using a  web system. The system  was created can provide an appraisal to assess the  work of employees in  PATENT

scholarly journals Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Pada PT Manggala Usaha Manunggal Menggunakan Metode Analytical Hierarchy Process (AHP)

2021 ◽  
Vol 2 (4) ◽  
pp. 218-234
Author(s):  
Sella Marta Armelia ◽  
Firamon Sakti
Keyword(s):  
Decision Support ◽  
Performance Appraisal ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Employee Performance ◽  
Web Based ◽  
Appraisal Process ◽  
Performance Appraisal Process ◽  
Hierarchy Process ◽  
A Company

PT Manggala Usaha Manunggal is a company engaged in mining and focusing on coal minerals, which is supported by many employees who work professionally in their respective fields. In a company, an employee performance appraisal process is usually carried out to determine the best employees. In the current performance appraisal process, the company still uses a manual system, so it is still less effective and efficient in managing data. The problem faced is how to calculate the best employee performance appraisal, with a decision support system in calculating employee performance appraisal, one of which is by applying the AHP (Analytical Hierarchy Porcess) method which is expected to produce the best employee rankings. The system that will be created will be web-based using MYSQL.

scholarly journals DECISION SUPPORT SYSTEM IN ASSESSMENT OF EMPLOYEE PERFORMANCE AT MNC GROUP USING SAW (SIMPLE ADDITIVE WEIGHTING) METHOD USING WHITE BOX TESTING

2018 ◽  
Vol 3 (1) ◽  
pp. 125-138
Author(s):  
Nur Roqim
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Employee Performance ◽  
Weighted Sums ◽  
Risk Level ◽  
Weighting Method ◽  
White Box Testing ◽  
Simple Additive Weighting

MNC Group as a television media company, performs performance appraisal for each employee as a job evaluation material, which is carried out by the head of the division, one of which is the head of the technical division of 112 other employees. The process of evaluating employee performance at MNC Group is still done manually, which is using Microsoft Excel applications one by one which makes the length of the process. The employee's assessment and appraisal report does not display the ranking from the top to the bottom of all of the employees. Decision support system in evaluating employee performance in MNC Group using the SAW (Simple Additive Weighting) method with this white box test is made to assist the head of the division to expand employee appraisal capabilities. The employee performance appraisal process is carried out in a computerized, structured and systematic manner based on the assessment criteria previously determined by the MNC Group, namely the quantity of work, accuracy & time management, quality of work and efficiency. The SAW (Simple Additive Weighting) method is a weighted addition method by looking for weighted sums of performance ratings on each alternative on all attributes. So that it can be obtained from every employee at MNC Group. Testing of system results that have been made is very necessary to know that the system is running well. Tests carried out are white box testing which is based on checking the details of the design, using the control structure of the program design procedurally to divide the test into several test cases. So that the value of the test results is known, namely 2 with the type of procedure is a simple procedure and the risk level is low risk.

scholarly journals Fuzzy Multi-Attribute Decision Making (FMADM) Application on Decision Support Systems (SPK) to Diagnose a Type of Disease

2021 ◽  
Author(s):  
Sugiyarto Surono ◽  
Mustika Sari
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Diagnostic Errors ◽  
Initial Symptoms ◽  
Total Integral ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Two Stages

Fuzzy logic is widely applied to daily life with various methods. One method is fuzzy multi-attribute decision making (FMADM). FMADM is able to select the best alternative from a number of alternatives. In FMADM there is a supporting method so that the results obtained are accurate and optimal, namely the classic MADM method. One method in classic MADM is the Simple Additive Weighting (SAW) method. The SAW method is precisely used to minimize diagnostic errors, but if a decision support system is made, the SAW method still requires a further development method, one of which is the FMADM method with its development. The purposes of this study are to describe the steps of SAW method and the development of FDM in theory, implement SAW method and the development of FDM to diagnose a type of disease and implement it in a decision support system using GUI matlab. The completion step of those two methods is through two stages, the first one will go through FMADM stage with SAW, which is weighted sum, then the output will be used as input to the FDM method based on total integral values. The result of this study is proven by patient experienced initial symptoms of high fever at a temperature of 39.5° C - 40° C, very much spots appear in rumple leed test (> 50 petheciae), bleeding gums, rarely got nausea and headache, as well as diarrhea. Accuracy for the decision support system using MAPE was obtained 93% so that the decision support system with FMADM method to diagnose the disease was feasible to use.

scholarly journals Decision Support System For Employee Bonus Determination With Web-Based Simple Additive Weighting (SAW) Method In PT. Mayatama Solusindo

2020 ◽  
Vol 2 (1) ◽  
pp. 7-13
Author(s):  
Yuda Irawan
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Program Implementation ◽  
System Development ◽  
Employee Performance ◽  
Weighting Method ◽  
Simple Additive Weighting ◽  
Analysis System

Decision Support System is a computerized system designed to increase effectiveness in decision making to solve semi-structured and unstructured problems so that the decision-making process can be of higher quality. One method of solving MADM problems is by using the Simple Additive Weighting method. The SAW method is to find the weighted sum of the performance ratings for each alternative of all attributes. This study aims to design and create a system to determine which employees are entitled to receive bonuses, for that we need a decision support for giving employee bonuses decisions. In this study using the Simple Additive Weighting method. The system development model used is a waterfall. Waterfall has several stages, namely needs analysis, system design, writing program code, program testing, program implementation and maintenance. The results showed the benefits of the SAW method as a decision support system for determining employee bonuses based on the employee performance of PT. Mayatama Solusindo can assist administrators in determining employee bonuses quickly and effectively. So the bonus that employees get using the SAW method is the basic salary times the percentage of the ranking value.

Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal

2021 ◽  
pp. 1353-1366
Author(s):  
Oluwasefunmi ‘Tale Arogundade ◽  
Bolanle Ojokoh ◽  
Mojisola Grace Asogbon ◽  
Oluwarotimi Williams Samuel ◽  
Babatope Sunday Adeniyi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Human Error ◽  
Fuzzy Inference ◽  
Employee Performance ◽  
Computational Technique ◽  
Organizational Goals ◽  
Ogun State

Employee performance appraisal is often considered a core management task in most standard organizations because it could potentially inspire an employee towards the pursuit of organizational goals and objectives. Meanwhile, issues such as delay in appraisal processes, inevitable human error, and emotional status of the appraiser, are common with the traditional appraisal methods. Hence, this research proposes a fuzzy decision-support system based on Henri Fayol's 14 principles of management for the appraisal of employees' performance. A questionnaire consisting of 44 structured questions was designed based on these principles and administered to the employees of Babcock University, Ilisan-Remo, Ogun State, Nigeria. Fuzzy inference system that incorporates Mamdani computational technique was built based on the feedback extracted from the questionnaires, and used for appraising the employee performance. Experimental results show that the proposed system could predict the appraisal status of an employee with 75% accuracy in comparison to the conventional appraisal method.

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